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Ekstraklasa
Slask Wroclaw
T U U T U
1–1
Full-time

Retrospective analysis — the model is trained only on matches played before this one.

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The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.

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Team trends

Slask Wroclaw Pogon Szczecin
Last 6 — all competitions · 6/6 matches
Win Ø 42%
17%
67%
Points per game
1,0
2,0
Over 2.5 Ø 67%
33%
100%
Both score Ø 75%
67%
83%
Average goals
2,3
3,7
Scored
0,8
2,5
Conceded
1,5
1,2
Goal diff per game
-0,7
+1,3
This season — Ekstraklasa · 31/31 matches
Win Ø 41%
23%
58%
Points per game
1,1
2,0
Over 2.5 Ø 52%
52%
52%
Both score Ø 63%
65%
61%
Average goals
2,7
2,8
Scored
1,2
1,9
Conceded
1,5
0,9
Goal diff per game
-0,3
+1,0
🔒 Goal markets Pro

Expected goals, over/under and both teams to score — priced by the model before kick-off.

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🔒 Most likely result Pro

The model's top final scores with the best bookmaker odds.

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The table before the match Slask Wroclaw 15. · Pogon Szczecin 3.
# Team K V U T +/− P
1 Lech Poznan 31 19 8 4 +40 65
2 Rakow 31 19 8 4 +28 65
3 Pogon Szczecin 31 18 8 5 +32 62
4 Lechia Gdansk 31 15 8 8 +15 53
5 Piast Gliwice 31 14 8 9 +8 50
6 Wisla Plock 32 14 3 15 -3 45
7 Radomiak Radom 32 10 14 8 +0 44
8 Cracovia 31 11 9 11 -2 42
9 Gornik Zabrze 32 11 8 13 -3 41
10 Warta Poznan 32 10 9 13 -3 39
11 Legia 32 12 3 17 -5 39
12 Stal Mielec 31 9 9 13 -9 36
13 Jagiellonia 31 8 11 12 -12 35
14 Zaglebie 32 10 5 17 -16 35
15 Slask Wroclaw 31 7 12 12 -9 33
16 Wisla 31 7 9 15 -14 30
17 Nieciecza 31 7 9 15 -19 30
18 Leczna 31 6 9 16 -28 27

Calculated from our results data. “xG +/−” is expected goal difference — a positive number with a low league position suggests an undervalued team. Ties on points are sorted by goal difference; some leagues use other rules.

The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.